The effect of the surface roughness to the classification of buried cylindrical targets

Author

Kizilay, A. ; Yucedag, S.M.

Author_Institution

Elektron. ve Haberlesme Muhendisligi Bolumu, Yildiz Teknik Univ., İstanbul, Turkey

fYear

2013

fDate

24-26 April 2013

Firstpage

1

Lastpage

3

Abstract

The electric field scattered from the buried cylindrical target is calculated by using Equivalence Principle and Moment Method, and the database is formed by using the scattered fields from three cylindrical targets at certain frequencies. Radial Basis Function Network is proposed for target classification. A portion of the database is used to train the network and the rest is used to test the performance of the neural network. This target classification process has been repeated by changing the surface roughness of the medium, in which is the target buried, and effects of the surface roughness to the target classification are investigated.

Keywords

image classification; method of moments; radial basis function networks; surface roughness; buried cylindrical target classification; electric field scattered; equivalence principle; moment method; neural network; radial basis function network; scattered fields; surface roughness; target classification process; three cylindrical targets; Dielectrics; Electromagnetic scattering; Microwave antennas; Neural networks; Radar antennas; Rough surfaces; Surface roughness; artificial neural network; buried target; electromagnetic scattering; target classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2013 21st

Conference_Location

Haspolat

Print_ISBN

978-1-4673-5562-9

Electronic_ISBN

978-1-4673-5561-2

Type

conf

DOI

10.1109/SIU.2013.6531584

Filename

6531584